Senior AI ML Operations Engineer
Tasks
- Automate retraining and data workflows
- Build production pipelines
- Collaborate to move models into production
- Deploy foundation model workflows
- Design AI ML operations platforms
- Develop CI/CD pipelines
- Establish version control and governance
- Evaluate emerging AI data and infrastructure technologies
- Implement monitoring and observability
- Implement security and data governance
- Optimize GPU and CPU resources
- Package deploy manage AI ML models
- Provision configure optimize AI ML infrastructure
- Support Databricks MLflow Unity Catalog workflows
- Troubleshoot platform data and model issues
Perks/Benefits
Skills/Tech-stack
AI Agent framework | AWS | Agent Framework | Alerting | Azure | CI/CD | CPU | Data Drift | Databricks | Docker | GCP | GPU | Infrastructure as Code | Knowledge graphs | Kubernetes | Langchain | Langgraph | MLflow | Monitoring | Mosaic AI | Mosaic AI Agent Framework | Observability | Python | Retrieval-Augmented Generation | SQL | Serverless | Terraform | Unity Catalog | Vector Databases | Vector Search | “as-code”
Education
N/A
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